Essays about: "Bildbehandling"
Showing result 16 - 20 of 154 essays containing the word Bildbehandling.
-
16. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. READ MORE
-
17. Computer Vision for Document Image Analysis and Text Extraction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic document processing has been a subject of interest in the industry for the past few years, especially with the recent technological advances in Machine Learning and Computer Vision. This project investigates in-depth a major component used in Document Image Processing known as Optical Character Recognition (OCR). READ MORE
-
18. Automatic segmentation of microstructures in metals : A computer vision approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The microstructures of a metal determine the physical, electrical and chemical properties of the metal, and analysis of microstructures is therefore an important part of materials science. Modern microscopes are capable of generating a lot of high-quality micrographs in a short period of time. READ MORE
-
19. Optimization of the Image Preprocessing Pipeline for Autonomous Driving : Correlating image quality settings, metrics and methods to the performance of Machine Vision/Machine Learning functions for autonomous vehicles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Image quality is a well-understood concept in human viewing applications, particularly multimedia, but it is also becoming more prevalent in the vehicle space. It is essential to work in this area to consider the safety of autonomous vehicles. READ MORE
-
20. Improving the Robustness of Deep Neural Networks against Adversarial Examples via Adversarial Training with Maximal Coding Rate Reduction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep learning is one of the hottest scientific topics at the moment. Deep convolutional networks can solve various complex tasks in the field of image processing. However, adversarial attacks have been shown to have the ability of fooling deep learning models. READ MORE